基于轮式驱动的新能源载重汽车自适应巡航控制及仿真研究

发布时间：2018-03-15 07:10

本文选题：载重汽车　切入点：轮式驱动电机　出处：《西南交通大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着我国物流业的发展,载重汽车保有量迅速增加,载重汽车带来的环境污染、能源消耗和交通安全等一系列矛盾给载重汽车产业带来了巨大挑战,发展新能源载重汽车对减小环境污染和缓解能源危机有重大意义。本文围绕载重汽车节能减排,提高载重汽车驾驶安全性,开展了基于轮式驱动的新能源载重汽车自适应巡航控制及仿真研究。本论文的主要研究工作如下:首先,本论文进行轮式驱动的新能源载重汽车动力参数匹配。根据指定的载重汽车车型确定整车参数,以满足载重汽车行驶动力性为目标,计算轮式驱动载重汽车动力元件功率、扭矩、电压等参数,实现新能源载重汽车动力系统的参数匹配。其次,本论文设计轮式驱动的新能源载重汽车驱动电机的调速系统。利用PWM脉宽调速方法,设计载重汽车轮式驱动电机电流——转速双闭环调速系统。本文设计新能源载重汽车驱动电机的模糊神经网络控制器,建立高斯型隶属函数模糊控制器,并利用前向反馈神经网络学习方法进行训练,通过仿真优化,提出利用增量式PID方法调节转速,利用模糊神经网络方法调节电流,以提高轮式驱动电机动态响应速度和精度。然后,本论文设计轮式驱动新能源载重汽车自适应巡航系统。为提高载重汽车高速行驶过程中的安全性,本文设计自适应巡航系统框架,提出新能源载重汽车自适应巡航过程中跟随安全间距策略。文章建立同车道同向直线行驶的三辆新能源载重汽车巡航系统模型,对该模型在不同工况下进行仿真实验,实验结果表明所建立的巡航系统可以很好地实现载重汽车自适应巡航。最后,本论文建立轮式驱动新能源载重汽车整车模型。论文使用AVL Cruise软件建立基于轮式驱动的新能源载重汽车整车模型,通过对该模型的启动、加速、制动等动力性能仿真,得出所设计的新能源载重汽车动力驱动部件的参数可以满足设计要求,为新能源载重汽车设计提供动力参数匹配和性能预测。
[Abstract]:With the development of logistics industry in China, the number of heavy vehicles has increased rapidly, and a series of contradictions, such as environmental pollution, energy consumption and traffic safety, have brought great challenges to the industry. The development of new energy truck has great significance in reducing environmental pollution and alleviating energy crisis. The adaptive cruise control and simulation research of new energy truck based on wheel drive is carried out. The main research work of this thesis is as follows: first of all, In this paper, the power parameters of the new energy vehicle driven by wheel are matched. The parameters of the vehicle are determined according to the specified vehicle type, and the power of the power element of the wheel driven truck is calculated in order to satisfy the driving power of the truck. Torque, voltage and other parameters to achieve the new energy vehicle power system parameters matching. Secondly, this paper designed the wheel driven new energy truck drive motor speed control system. Using PWM pulse width speed regulation method, In this paper, the fuzzy neural network controller for driving motor of new energy truck is designed, and the fuzzy controller of membership function of Gao Si type is established. Through the simulation optimization, the incremental PID method is used to adjust the rotational speed and the fuzzy neural network method is used to adjust the current. In order to improve the dynamic response speed and precision of wheel-driven motor, this paper designs an adaptive cruising system for wheel-driven new energy truck. In this paper, the frame of adaptive cruise system is designed, and the strategy of following safety spacing in adaptive cruising process of new energy truck is proposed. In this paper, the model of three new energy truck cruising systems with the same lane and straight line is established. The simulation results of the model under different operating conditions show that the established cruise system can achieve the adaptive cruise of the truck well. Finally, In this paper, the whole vehicle model of wheel driven new energy truck is established. The whole vehicle model of new energy truck based on wheel drive is established by using AVL Cruise software, and the dynamic performance simulation of the model, such as startup, acceleration and braking, is carried out. It is concluded that the parameters of the power driving parts of the new energy truck can meet the design requirements and provide the power parameter matching and performance prediction for the design of the new energy truck.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U463.6;U469.7

【参考文献】